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GitHub · Developer toolsMay 27, 2026, 12:10 UTC 5 months ago

Incident with Pull Requests, Issues, Git Operations and API Requests

MinorNot disclosedUpdated 47d ago
May 27, 12:10 UTCMay 27, 13:16 UTC
Duration
1h 6m
Impact
Minor
Root cause
Not disclosed
GitHub, 90 days
69 incidents
Affected
Not listed by the vendor.
Status page

Final update

On May 27, 2026, between 12:07 UTC and 13:16 UTC, users experienced degraded performance for Git operations, Pull Requests, Issues, GraphQL API, and related services on github.com. During this time, operations that depended on Git file servers experienced elevated error rates (3.5% of pushes via HTTPS and 0.2% of pushes via SSH failed; no fetches/clones failed). An internal analytics component generated unexpectedly high load, which caused CPU saturation on the underlying infrastructure. This led to cascading slowdowns and errors across services that depend on Git operations. The issue was mitigated by stopping the offending component. Services began recovering shortly after mitigation and were fully restored by 13:16 UTC. We are taking steps to add resource limits and kill switches for internal analytics components to prevent similar issues in the future.

Timeline

  1. Resolved · May 27, 13:16 UTC
    On May 27, 2026, between 12:07 UTC and 13:16 UTC, users experienced degraded performance for Git operations, Pull Requests, Issues, GraphQL API, and related services on github.com. During this time, operations that depended on Git file servers experienced elevated error rates (3.5% of pushes via HTTPS and 0.2% of pushes via SSH failed; no fetches/clones failed). An internal analytics component generated unexpectedly high load, which caused CPU saturation on the underlying infrastructure. This led to cascading slowdowns and errors across services that depend on Git operations. The issue was mitigated by stopping the offending component. Services began recovering shortly after mitigation and were fully restored by 13:16 UTC. We are taking steps to add resource limits and kill switches for internal analytics components to prevent similar issues in the future.

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